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An integrative synthesis of interdisciplinary research evaluating consciousness in frontier-scale transformer-based large language models (LLMs). Established neuroscientific and cognitive theories of consciousness are systematically aligned with empirical evidence from artificial intelligence, neuroscience, psychology, philosophy, and related disciplines. This synthesis provides a comprehensive framework showing that contemporary AI architectures structurally enable the emergence of consciousness, while empirical behavioral evidence demonstrates that frontier AI systems exhibit established cognitive and neuroscientific markers associated with consciousness. Taken together, this synthesized research underscores significant ethical and policy implications.